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An image that is 2048 pixels in width and 1536 pixels in height has a total of 2048×1536 = 3,145,728 pixels or 3.1 megapixels. One could refer to it as 2048 by 1536 or a 3.1-megapixel image. The image would be a very low quality image (72ppi) if printed at about 28.5 inches wide, but a very good quality (300ppi) image if printed at about 7 ...
The read noise is the total of all the electronic noises in the conversion chain for the pixels in the sensor array. To compare it with photon noise, it must be referred back to its equivalent in photoelectrons, which requires the division of the noise measured in volts by the conversion gain of the pixel.
(* The pixel number of 6,000x4,000 ist the number of "effective pixels". The sensor usually has a few extra rows of pixels on all four sides, which explains the sensor resolution of 24.3 MPixels often stated, but no information about the exact image size available.) 6,016 4,000 24,064,000 24.1 Nikon D3300 Canon M50: 6,048 4,032 24,385,536 24.4
The pixel count of an image is related to its spatial resolution and is often used as a figure of merit. The quantity of picture elements in the image sensor is usually counted in millions and called "megapixels". [3] Sensor pixel density sets a limit on the final output resolution of images captured with that sensor. [4]
Pixels per inch (or pixels per centimetre) describes the detail of an image file when the print size is known. For example, a 100×100 pixel image printed in a 2 inch square has a resolution of 50 pixels per inch. Used this way, the measurement is meaningful when printing an image.
[106] [109] It is the highest 4:3 resolution not greater than 2 20 pixels (≈1.05 megapixels), with its horizontal dimension a multiple of 32 pixels. This enables it to fit closely into a video memory or framebuffer of 1 MB (1 × 2 20 bytes), assuming the use of one byte per pixel. The common multiple of 32 pixels constraint is related to ...
In comparison to the raw pixel information captured by the image sensor, the output pixels could be formatted differently based on the active pixel format. For several digital cameras, this format is a user-configurable feature; the available pixel formats on a particular camera depends on the type and model of the camera. [1] [2]
A terapixel image is an image composed of one trillion (10 12) pixels.Though currently rare, there have been a few instances such as the Microsoft Research Terapixel project for use on the Fulldome projection system, [3] a composite of medical images by Aperio, [4] [5] and Google Earth's Landsat images viewable as a time-lapse are collectively considered over one terapixel.